System Design Interviews: What distinguishes you from others?

The objective of the system design interview is to assess your ability to design a complete system from start to finish on your own.

You will be given an open-ended design problem, and you will be expected to flesh out the requirements and come up with key pieces of the system.

Explore Free Engineering Handwritten Notes!

Looking for comprehensive study materials on Python, Data Structures and Algorithms (DSA), Object-Oriented Programming (OOPs), Java, Software Testing, and more?

We earn a commission if you make a purchase, at no additional cost to you.

Here are the seven characteristics that will distinguish you from others and this will be the answer of What distinguishes you from others?

1. Eliminating vagueness

What does it mean?

  • Asking questions to clear the boundary of the system.
  • Identifying the limits and scope of the system.


  • Are we going to support one million users?
  • Will there be any push notifications for updates?

2. Being able to ask the right questions


  • If we are going for lower latency, what minimum throughput should we expect from the system?
  • Since we will be storing data for global users, should we store data near the user’s location to reduce latency?

3. Making reasonable assumptions


  • We will prioritize high throughput and a reasonable latency.
  • We will adopt a pull data model for less active users and switch to a hybrid (push & pull) model for highly active (or celebrity) users.

4. Identifying and prioritizing the core requirements of the system


  • Users should be able to upload videos and attach them to their tweets.
  • It is important for the system to be highly available, but consistency can take a hit. The user should always be able to access the system, but it’s okay if they sometimes see inconsistent data.

5. Analyzing different solutions and tradeoffs


  • SQL vs. NoSQL
  • Availability vs. Consistency
  • Throughput vs. Latency
  • Pull vs. Push

6. Making reasonable choices


  • Since we will be storing a massive amount of data, we will partition our data to distribute it to multiple servers.
  • Since we need low latency, we’ll store the data near the user’s location.

7. Identifying and resolving bottlenecks


  • Is there any single point of failure in our system? What are we doing to mitigate it?
  • Do we have enough service replicas running such that a few failures will not cause a total system shutdown?


➡ Practice these techniques to distinguish yourself from others!

Leave a Reply